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Mai H. Nguyen
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Publications
- 2023
- [j8]Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Pérez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15(11): 2790 (2023) - [c18]Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas:
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science 2023: 1-2 - 2022
- [i6]Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. CoRR abs/2212.14143 (2022) - 2019
- [c13]Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas:
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData 2019: 5437-5443 - [c12]Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas:
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience 2019: 243-251 - 2018
- [c11]Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas:
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData 2018: 1632-1638 - [c9]Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas:
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion 2018: 142-147 - 2017
- [c8]Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas:
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData 2017: 1203-1212 - [c7]Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Thomas A. DeFanti, Ilkay Altintas:
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience 2017: 9-18 - [i1]Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR abs/1711.05429 (2017) - 2016
- [c6]Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas:
A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData 2016: 1340-1345 - [c4]Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas:
Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS 2016: 2443-2448 - 2015
- [c3]Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas:
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData 2015: 2509-2516 - [c2]Ilkay Altintas, Jessica Block, Raymond A. de Callafon, Daniel Crawl, Charles Cowart, Amarnath Gupta, Mai H. Nguyen, Hans-Werner Braun, Jürgen P. Schulze, Michael Gollner, Arnaud Trouve, Larry Smarr:
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS 2015: 1633-1642
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